Comments (7)
Are you referring to the calibration result from section 2.3.4 of the readme? With the csv titled "calibration_YYYY-MM-DD_HH-MM-SS.csv"? If so, just follow section 2.4 to get the final calibration parameters.
To go from roll, pitch, yaw, x, y, z to a transformation matrix, we first need to convert roll, pitch, yaw into a rotation matrix with rotation order XYZ.
Once you have the resulting 3x3 Rotation matrix from above, you can combine it with the, translation (x, y, z) in a single 4x4 homogenous transformation matrix T as shown below. This can be then used to convert points from camera to lidar frame.
There are different libraries for the above to help with rotation matrix/transformation like Eigen in C++ or scipy.spatial.transform.Rotation in python.
from cam_lidar_calibration.
Thanks for your reply.
I'm studying the paper you linked and I have some questions.
I understood that you extract normal vectors by using RANSAC and calculate some errors on lidar coordinates.
However, I want to know how you extract vectors from camera coordinates and how can calculate roll, pitch, yaw, x, y, and z from them.
from cam_lidar_calibration.
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